Table 1.
List of bisyllabic nonwords used in the test session.
Fig 1.
Distribution of standardised EMG scores by class and by muscle.
The first row corresponds to the inner speech condition, the second one to the listening condition, and the third one to the overt speech condition. The first column depicts the EMG amplitude recorded over the OOI muscle while the second column represents the EMG amplitude recorded over the ZYG muscle. Each individual data point is represented as a vertical bar along the x-axis. The vertical coloured line represents the by-class median. Please note that the scale of the x-axis may differ considerably between panels.
Table 2.
Descriptive statistics of the standardised EMG amplitude for each muscle in each condition.
Table 3.
Estimates from the Gaussian BMLM concerning the OOI and the ZYG.
Fig 2.
Raw data along with posterior predictions of the first model for the OOI and the ZYG muscles.
Dots represent the mean prediction of this model by condition, whereas the vertical error bars represent the 95% credible intervals around the mean.
Fig 3.
Posterior predictive checking for the first model concerning the OOI and ZYG muscles.
The dark blue line represents the distribution of the raw data (across all conditions) whereas light blue lines are dataset generated from the posterior distribution.
Fig 4.
Posterior predictive checking for the Skew-Normal model concerning the OOI and ZYG muscles.
The dark blue line represents the distribution of the raw data whereas light blue lines are dataset generated from the posterior distribution.
Fig 5.
Raw data along with posterior predictions of the third model for the OOI and the ZYG muscles.
Dots represent the mean prediction of this model by condition (concerning the location parameter) whereas the vertical error bars represent the 95% credible intervals.
Table 4.
Estimates from the distributional Skew-Normal model concerning the OOI and the ZYG.
Fig 6.
Average standardised EMG amplitude for each nonword in each condition, in the 2D space formed by the OOI and the ZYG.
Ellipses represent 95% data ellipses, that is, the 95% contours of a bivariate normal distribution.
Table 5.
Confusion matrix with by-class error for the overt speech condition.
Table 6.
Confusion matrix with by-class classification error for the inner speech condition.
Table 7.
Confusion matrix with by-class classification error for the listening condition.
Table 8.
Standardised EMG amplitude recorded over the OOI and the ZYG during overt speech production of rounded versus spread vowels in Eskes et al. (2017).